Patents by Inventor Jiaying Hu

Jiaying Hu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10961570
    Abstract: A high-throughput and rapid nucleic acids detection method based on capillary microarrays comprises the steps that firstly, microarray containing a number of hydrophilic and vertical micro-channels is fabricated by capillary assembling, casting and machining, and the outer surface of the capillary array is coated with super-hydrophobic Ultra-Ever Dry paint; secondly, different primer sets are individually loaded into the micro-channels and air-dried to adhere them on the inner surface, and then the microarray is anchored into a reaction tube; thirdly, the reaction mixture is introduced into every microchannel at once through capillary force by a special designed sample-loading adaptor, and then the amplification reaction is performed in the temperature control device; and finally, the fluorescence can either be measured continually during the reaction for real-time detection or be recorded once in the end for endpoint detection. Moreover, the products can also be recovered for other use later.
    Type: Grant
    Filed: April 2, 2016
    Date of Patent: March 30, 2021
    Assignee: SHANGHAI JIAO TONG UNIVERSITY
    Inventors: Shengce Tao, Litao Yang, Ning Shao, Jiaying Hu, Jianwei Chen, Dabing Zhang
  • Publication number: 20190119722
    Abstract: The present invention discloses a high-throughput and rapid nucleic acids detection method based on capillary microarrays, and belongs to the technical field of biomedicine.
    Type: Application
    Filed: April 2, 2016
    Publication date: April 25, 2019
    Inventors: Shengce Tao, Litao Yang, Ning Shao, Jiaying Hu, Jianwei Chen, Dabing Zhang
  • Publication number: 20120191640
    Abstract: Methods and systems for event pattern mining are shown that include representing longitudinal event data in a measurable geometric space as a temporal event matrix representation (TEMR) using spatial temporal shapes, wherein event data is organized into hierarchical categories of event type and performing temporal event pattern mining with a processor by locating visual event patterns among the spatial temporal shapes of said TEMR using a constraint sparse coding framework.
    Type: Application
    Filed: January 21, 2011
    Publication date: July 26, 2012
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Shahram Ebadollahi, Jiaying Hu, Martin S. Kohn, Noah Lee, Robert K. Sorrentino, Jimeng Sun, Fei Wang